Forscher berichten, dass KI-Modelle, die hauptsächlich auf Daten des globalen Nordens trainiert wurden, regionale Wörter aus dem mittleren Westen und Nordosten Brasiliens als statistisches Rauschen behandeln – und argumentieren, dass zur Behebung dieses Problems mehr als nur regionale Datensätze erforderlich seien; Es erfordert die Behandlung von Daten als kulturelles Bedeutungssystem.

>This article examines the processes of construction of meaning in generative AI through the lens of discursive semiotics, focusing on how Big Data and datafication operate as semiotic regimes. Drawing upon the concepts of semiotic practices and forms of life the analysis describes how the intangible and dynamic process of datafication configures practical scenes that, once stabilized within Big Data, privilege particular forms of life.

This reads like some kind of parody.

Taking a look at their methods it may still be parody. They basically played „what do I have in my pocket“ with chat models. 

Asking chatgpt and a Brazilian model  about an obscure Brazilian slang term with zero context then building a narrative about how its „cultural erasure“ that chatgpt brings up other historical uses of the same term rather than what the academic was thinking of.

Big surprise: the Brazilian model assumes you’re talking about something in the context of Brazil. 

It IS true that fixing the problems with ‚AI‘ rewrite it to fundamentally be a different sort of thing than it is.